Data Scientist (Autonomous Driving)

Location: Hybrid in Sunnyvale, California, or remote within the USA.

Company

hirify.global is building an AI platform for autonomous driving that learns from real-world experience and supports scalable deployment from L2+ to L4 automation.

What you will do

• Analyze complex driving, validation, and operational datasets using Python and SQL.
• Investigate driving behaviours, operational events, safety-critical interventions, unnecessary stops, stuck scenarios, and manoeuvre execution across different roads and conditions.
• Build metrics, performance baselines, and dashboards for model, software, and product releases.
• Apply statistical methods to assess rare events, quantify uncertainty, and distinguish meaningful improvements from noise.
• Measure Robotaxi service reliability, including intervention demand, mission completion, recovery time, vehicle availability, remote assistance, passenger interactions, and vehicle readiness.
• Translate findings into development priorities, targeted validation, improved data collection, and product readiness evidence.

Requirements

• At least three years of relevant experience in data science, automotive data analysis, or a related field.
• Hands-on experience with Python, SQL, statistical analysis, and tools for exploring and visualising large datasets.
• Ability to turn ambiguous real-world problems into measurable questions, useful KPIs, and practical analytical approaches.
• Experience analyzing complex systems, identifying performance limitations, and translating findings into product or engineering improvements.
• Understanding of statistical confidence, rare-event analysis, performance distributions, and trends.
• Ability to work independently with incomplete data, make reasonable assumptions, and refine approaches as new evidence emerges.
• Clear communication with engineering, product, and leadership stakeholders, including explaining findings and their limitations.

Nice to have

• Experience in autonomous driving, ADAS, robotics, mobility services, or another complex physical system.
• Familiarity with vehicle dynamics, driving behaviour, safety-critical events, or operational reliability.
• Relevant master’s degree or PhD in Physics, Statistics, or Mathematics, particularly focused on traffic systems, autonomous driving deployment, or urban mobility.

Culture & Benefits

• Hybrid working with focused remote time and in-person collaboration.
• Relocation support and visa sponsorship where applicable.
• Meaningful equity and annually benchmarked salaries.
• Learning and development budgets for training, conferences, and growth.
• Health, dental, retirement or pension, enhanced maternity and paternity leave, therapy access, wellbeing partnerships, and team socials, depending on location.
• An ownership-oriented environment where processes are still being developed.

Hiring process

• Initial recruiter call lasting 30 minutes.
• 60-minute competency interview with the hiring manager.
• Two hours of deep-dive technical interviews covering programming and statistics, followed by a 30-minute final interview.